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README.md

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+# Abhinav Academy Chatbot
+
+A fine-tuned language model designed to answer questions about Abhinav Academy's courses, facilities, and services. This model is based on EleutherAI's GPT-Neo 1.3B and has been specifically trained to provide accurate information about the institution.
+
+## Model Details
+
+- **Base Model**: EleutherAI/gpt-neo-1.3B
+- **Training Dataset**: Custom dataset of question-answer pairs about Abhinav Academy
+- **Task**: Instruction-following for educational institution information
+- **Primary Use Case**: Answering student and parent queries about Abhinav Academy
+
+## Use Cases
+
+This model is designed to:
+
+- Answer questions about course offerings (JEE, NEET, MHT-CET preparation)
+- Provide information about faculty and facilities
+- Explain admission requirements and processes
+- Share details about extracurricular activities
+- Address queries about fees, scholarships, and logistical details
+
+## Example Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load model and tokenizer
+model_name = "accesscreate012/abhinav-chatbot"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Function to generate responses
+def generate_response(instruction, max_new_tokens=150):
+    prompt = f"Instruction: {instruction}\nResponse:"
+    
+    # Tokenize the input
+    inputs = tokenizer(prompt, return_tensors="pt")
+    
+    # Generate with improved parameters
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=max_new_tokens,
+        num_beams=5,
+        no_repeat_ngram_size=3,
+        early_stopping=True,
+        top_p=0.92,
+        temperature=0.7,
+        do_sample=True,
+        pad_token_id=tokenizer.eos_token_id
+    )
+    
+    # Process and clean the output
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    
+    # Extract only the response part
+    if "Response:" in generated_text:
+        response = generated_text.split("Response:")[1].strip()
+    else:
+        response = generated_text.replace(prompt, "").strip()
+    
+    return response
+
+# Example queries
+queries = [
+    "What courses do you offer for JEE preparation?",
+    "Tell me about your NEET coaching program",
+    "Where is Abhinav Academy located?",
+    "Do you have hostel facilities?"
+]
+
+# Generate and print responses
+for query in queries:
+    print(f"Q: {query}")
+    print(f"A: {generate_response(query)}")
+    print()
+```
+
+## Sample Interactions
+
+**Q: What courses does Abhinav Academy offer?**  
+A: We offer MHT-CET, JEE, NEET preparation, as well as supplementary courses like English Communication, Personality Development, and Foreign Languages (German/French).
+
+**Q: Does Abhinav Academy offer NEET coaching?**  
+A: Yes, we offer NEET coaching with expert faculty and structured study materials. Our 24-month NEET Preparation program emphasizes NCERT-based learning and practical lab sessions for Biology, Physics, and Chemistry.
+
+**Q: What are the admission requirements for Abhinav Academy?**  
+A: Admission requirements vary by program. Generally, students must pass an entrance test and interview. Competitive courses require strong academics.
+
+## Limitations
+
+- The model is specialized for information about Abhinav Academy only
+- It may not provide accurate information about other educational institutions
+- Responses are based on training data and may not reflect real-time changes to curriculum or policies
+- The model should be regularly updated as the institution's offerings evolve
+
+## Training Methodology
+
+This model was fine-tuned using a supervised approach on a custom dataset containing question-answer pairs about Abhinav Academy. The training process focused on:
+
+- Preserving factual accuracy about course offerings
+- Maintaining consistent formatting and tone
+- Optimizing for natural-sounding responses
+- Handling variations in question phrasing
+
+## Integration
+
+This model can be integrated into:
+
+- The academy's official website as a chat assistant
+- Mobile applications for student support
+- SMS or WhatsApp-based query systems
+- Internal student support systems
+
+## License
+
+This model is provided for educational purposes. Please contact Abhinav Academy for commercial use.
+
+## Contact
+
+For questions or feedback about this model, please reach out to [CONTACT_EMAIL].